A smart base station management system

Abstract

The present invention relates to a system (1) which provides an adaptive power management by estimating traffic density to increase efficiency and optimize resources at base stations (2).

Description

[0001] A SMART BASE STATION MANAGEMENT SYSTEM

[0002] Technical Field

[0003] The present invention relates to a system which provides an adaptive power management by estimating traffic density to increase efficiency and optimize resources at base stations.

[0004] Background of the Invention

[0005] Today, high-cost expenses occur at the base stations of telecommunication companies. One of the biggest expenses of companies is energy costs. Energy consumption at base stations may decrease or increase from time to time. According to these energy consumptions, the energy consumption of these base stations should be monitored periodically. Companies need to manage these energy costs at base stations.

[0006] Therefore, it is understood that there is need for a system which provides an adaptive power management by estimating traffic density to increase efficiency and optimize resources at base stations.

[0007] The Chinese patent document no. CN112566226, an application included in the state of the art, discloses an intelligent energy recovery method for 5G base station. The method comprises the steps of distinguishing the specific features of the wireless base station, and determining an initial energy-saving configuration, predicting an energysaving parameter threshold value through a second-order smooth prediction algorithm, realizing an energy-saving parameter adjustment mechanism based on real-time KPI monitoring. The method of the invention has the advantages that it effectively solves the problems that a traditional energy-saving means is rigid in application mode, poor flexibility, slow response time, poor in energy-saving effect and incapable of being effectively combined with user perception and KPIs. A C++ compilation interface is used to process the historical performance data of the existing network at the large cell level and perform screening and classification according to the energy saving effect and in order to obtain the energy saving time window of sub-cells, the service volume / intensity development trend of the appropriate cell is estimated through a second-order smooth algorithm and in order to achieve the optimal balance between the cell service saving effect and user perception, energy saving parameters are dynamically adjusted according to the cell load change with the energy saving parameter adjustment mechanism based on KPI real-time monitoring. However, this system does not provide the features of automatically adjusting the energy consumption of the base stations with the algorithm on it, and automatically restoring the base station antenna power to its normal level by recognizing the drops and density if it is noticed that there is a rapid density again when the power of the base station is reduced and energy saving is achieved with the algorithm.

[0008] Summary of the Invention

[0009] An objective of the present invention is to realize a system which is developed to provide an adaptive power management by estimating traffic density to increase efficiency and optimize resources at base stations.

[0010] An objective of the present invention is to realize a system which is developed to achieve reduction in energy costs. An objective of the present invention is to realize a system which is developed to reduce the carbon footprint and minimize the environmental impact with less energy consumption.

[0011] Detailed Description of the Invention

[0012] “A Smart Base Station Management System” realized to fulfil the objectives of the present invention is shown in the figure attached, in which:

[0013] Figure 1 is a schematic view of the inventive system.

[0014] The components illustrated in the figure are individually numbered, where the numbers refer to the following:

[0015] 1. System

[0016] 2. Base Station

[0017] 3. Server

[0018] The inventive system (1) which is developed to provide an adaptive power management by estimating traffic density in order to increase efficiency and optimize resources in mobile network broadcasting units, comprises at least one base station (2) which consists of a cabinet comprised of receiver, transmitter and power units; and antenna units installed in places such as towers, poles, roofs, building surfaces to emit signals and configured to provide communication with mobile devices; at least one server (3) which establishes connection with the base stations (2) in the network and is configured to enable real-time monitoring of the operating status of the base station (2), traffic density, connection quality, performance data, activity information on official and national holidays; to predict the future traffic density and utilization by time series regression analysis based on the data collected from the base station (2); to automatically adjust the energy consumption of the base stations (2) with the algorithm thereon; to enable the algorithm to recognize the decreases and density if it is noticed that there is a rapid density again when the power of the base station (2) is reduced and energy saving is achieved; and to automatically restore the base station (2) antenna power to its normal level.

[0019] The base station (2) included in the inventive system (1) is configured to provide wireless communication in a certain coverage area and to establish bidirectional communication with mobile devices. The base station (2) is configured to establish communication with the server (3) via any communication means.

[0020] The server (3) included in the inventive system (1) is configured to establish communication the base station (2) via any communication means. The server (3) is configured to receive energy usage data and traffic data from the base station (2) in real time by establishing communication with the base station (2). The server (3) is configured to determine the operating status information of the base station (2), traffic density information, connection quality information, performance information of the base station (2), and activity information such as public and national holidays by analyzing the energy usage data and traffic data received from the base station (2). The server (3) is configured to estimate future traffic density and usage based on the data received from the base station (2) by time series regression analysis and to manage resources more effectively by determining energy demand in advance. The server (3) is configured to include an algorithm for automatically adjusting the energy consumption of the base stations (2). The server (3) is configured to save energy by automatically reducing the power of the base station (2) during periods of low traffic density. The server (3) is configured to save energy consumption by turning off antennas on the base stations (2) during off-peak periods. The server (3) is configured to enable the antennas to return to their previous capacity when traffic increases again. The server (3) is configured to automatically restore the capacities of the antennas to their normal level if it is noticed that there is a rapid increase in traffic again when the power is reduced and energy is saved. The server (3) is configured to monitor the key performance indicators of the cells in the base station (2) and to generate alarms based on them in order to restore energy usage to its previous level when necessary. The server (3) is configured to increase or decrease the coverage power of the base station (2) according to the detected density.

[0021] Industrial Application of the Invention

[0022] With the inventive system (1), an adaptive power management is provided by estimating traffic density to increase efficiency and optimize resources at base stations (2).

[0023] Within these basic concepts; it is possible to develop various embodiments of the inventive “Smart Base Station (2) Management System (1)”; the invention cannot be limited to examples disclosed herein and it is essentially according to claims.

Claims

CLAIMS1. A system (1) which is developed to provide an adaptive power management by estimating traffic density in order to increase efficiency and optimize resources in mobile network broadcasting units, comprising at least one base station (2) which consists of a cabinet comprised of receiver, transmitter and power units; and antenna units installed in places such as towers, poles, roofs, building surfaces to emit signals and configured to provide communication with mobile devices; and characterized by at least one server (3) which establishes a connection with the base stations (2) in the network and is configured to enable real-time monitoring of the operating status of the base station (2), traffic density, connection quality, performance data, activity information on official and national holidays; to predict the future traffic density and utilization by time series regression analysis based on the data collected from the base station (2); to automatically adjust the energy consumption of the base stations (2) with the algorithm thereon; to enable the algorithm to recognize the decreases and density if it is noticed that there is a rapid density again when the power of the base station (2) is reduced and energy saving is achieved; and to automatically restore the base station (2) antenna power to its normal level.

2. A system (1) according to Claim 1 ; characterized by the base station (2) which (2) which is configured to provide wireless communication in a certain coverage area and to establish bidirectional communication with mobile devices.

3. A system (1) according to Claim 1 or 2; characterized by the base station (2) which is configured to establish communication with the server (3) via any communication means.

4. A system (1) according to any of the preceding claims; characterized by the server (3) which is configured to establish communication the base station (2) via any communication means.

5. A system (1) according to any of the preceding claims; characterized by the server (3) which is configured to receive energy usage data and traffic data from the base station (2) in real time by establishing communication with the base station (2).

6. A system (1) according to any of the preceding claims; characterized by the server (3) which is configured to determine the operating status information of the base station (2), traffic density information, connection quality information, performance information of the base station (2), and activity information such as public and national holidays by analyzing the energy usage data and traffic data received from the base station (2).

7. A system (1) according to any of the preceding claims; characterized by the server (3) which is configured to estimate future traffic density and usage based on the data received from the base station (2) by time series regression analysis and to manage resources more effectively by determining energy demand in advance.

8. A system (1) according to any of the preceding claims; characterized by the server (3) which is configured to include an algorithm for automatically adjusting the energy consumption of the base stations (2).

9. A system (1) according to any of the preceding claims; characterized by the server (3) which is configured to save energy by automatically reducing the power of the base station (2) during periods of low traffic density.

10. A system (1) according to any of the preceding claims; characterized by the server (3) which is configured to save energy consumption by turning off antennas on the base stations (2) during off-peak periods.

11. A system (1) according to any of the preceding claims; characterized by the server (3) which is configured to enable the antennas to return to their previous capacity when traffic increases again.

12. A system (1) according to any of the preceding claims; characterized by the server (3) which is configured to automatically restore the capacities of the antennas to their normal level if it is noticed that there is a rapid increase in traffic again when the power is reduced and energy is saved.

13. A system (1) according to any of the preceding claims; characterized by the server (3) which is configured to monitor the key performance indicators of the cells in the base station (2) and to generate alarms based on them in order to restore energy usage to its previous level when necessary.

4. A system (1) according to any of the preceding claims; characterized by the server (3) which is configured to increase or decrease the coverage power of the base station (2) according to the detected density.

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